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PyTorch
Framework · Meta · Catalog tech@1
Deep learning framework.
- Categories
- Matched as
- pytorch
- torch
Momentum
Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works
Momentum
Collecting0 of 5 signalsNo score yet. Momentum is published only when at least 2 of the 5 signals have history. PyTorch has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.
Snapshot OCT 24, 2026 · Scoring tech@1
- Official repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.103,616 stars now
- Member repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.0 new members in 30 days
- Package adoption
- Not published by its registries
- Its packages’ registries publish no adoption figure, so there is nothing to grow.
- Open models
- No official models
- No official model on Hugging Face, so this signal does not apply.
- News
- Collecting
- News counts once there are 3 events across the last 60 days; it has 2.2 in the last 30 days · 0 in the 30 before
Adoption by registry
The growth of PyTorch’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.
No registry has two observations of PyTorch’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.
News activity
- Events · 7 days
- 2published events that mention it
- Events · 30 days
- 2published events that mention it
- Previous 30 days
- 0events in the 30 days before
Momentum history
Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.
Repositories
Official 1
- pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
103.6K stars
Members 794repositories tagged with one of its aliases, most-starred first
- jrieke/traingenerator
🧙 A web app to generate template code for machine learning
1.4K stars
- AutoArk/TinyEngram
Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.
1.4K stars
- pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
1.4K stars
- keyu-tian/SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
1.4K stars
- FireRedTeam/FireRed-Image-Edit
FireRed-Image-Edit is a powerful image editing foundation model achieving open-source state-of-the-art performance with precise instruction following, high-fidelity generation, superior identity consistency, and seamless multi-element fusion.
1.4K stars
- Cysu/open-reid
Open source person re-identification library in python
1.4K stars
- TorchSSL/TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
1.4K stars
- akamaster/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
1.4K stars
- hiyouga/FastEdit
🩹Editing large language models within 10 seconds⚡
1.4K stars
- zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
1.4K stars
- bytedance/flux
A fast communication-overlapping library for tensor/expert parallelism on GPUs.
1.4K stars
- sail-sg/poolformer
PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
1.4K stars
Packages
“Is” packages are PyTorch itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.
Is 1the technology itself, most-adopted first
- torch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Not published by PyPI
Ecosystem 582packages that depend on it, most-adopted first
- new-gfpgan
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration
Not published by PyPI - nextai-vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Not published by PyPI - nixl-cu12
NIXL Python API
Not published by PyPI - nixl-cu13
NIXL Python API
Not published by PyPI - nnaudio
A fast GPU audio processing toolbox with 1D convolutional neural network
Not published by PyPI - nnsight
Interpreting and manipulating the internals of neural networks.
Not published by PyPI - nnunetv2
nnU-Net is a framework for out-of-the box image segmentation.
Not published by PyPI - nnunetv2-neuropoly
NeuroPoly fork of nnU-Net
Not published by PyPI - nnunetv2ml
nnU-Net is a framework for out-of-the box image segmentation.
Not published by PyPI - nvdlfw-inspect
Facilitates debugging convergence issues and testing new algorithms/recipes for training LLMs using Nvidia libraries.
Not published by PyPI - nvidia-modelopt
Nvidia Model Optimizer: A unified library of SOTA model optimization techniques like quantization, pruning, Neural Architecture Search (NAS), distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Not published by PyPI - nvidia-physicsnemo
A deep learning framework for AI-driven multi-physics systems
Not published by PyPI
Latest news the 3 latest events that mention it
- 42h agoOCT 24, 2026
- 3d agoOCT 22, 2026
- 4mo agoJUL 10, 2026